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MS1VIS - Decision Making in Medicine

Course specification
Course title Decision Making in Medicine
Acronym MS1VIS
Study programme Electrical Engineering and Computing
Module Applied Mathematics
Type of study master academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 6.0 Status elective
        Condition none
        The goal Introduction to basic ideas, techniques, methods, and applications of artificial intelligence in process control, signal analysis, machine learning and computer communication systems.
        The outcome The ability of formal characterization and formal representation of knowledge and strategies underlying intelligent processes and programs.
        Contents
        Contents of lectures Overview of main directions of development and artificial intelligence. Methods of knowledge representation. Techniques and strategies for building automated reasoning procedures. Inference under specific conditions. Heuristics. Search techniques. Examples of the application of artificial intelligence.
        Contents of exercises Introduction to automated reasoning techniques and software tools to work with it.
        Literature
        1. G. Luger, W. A. Stubblefield:" Artificial Intelligence: Structures and Strategies for Complex Problem Solving", The Benjamin/Cummings Publishing Company, Inc. 2003. (Original title)
        2. Artificial Intelligence: A Modern Approach. 2nd Edition, S. Russell and P. Norvig. Prentice Hall, 2003 (Original title)
        3. Artificial Intelligence: A New Synthesis, Nils Nilsson, Morgan Kaufmann, 1998 (Original title)
        4. Artificial Intelligence, A guide to Intelligent Systems, 2nd Edition, Michael Negnevitsky, Addison Wesley, 2005 (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        3 1 1
        Methods of teaching Lectures and auditory exercises.
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures 0 Test paper 70
        Practical lessons 30 Oral examination 0
        Projects 0
        Colloquia 0
        Seminars 0